Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

Keyphrases

• Building Energy Consumption 100%
• Prediction Model 100%
• Peak Electricity Demand 100%
• Data Mining Techniques 100%
• Energy Peak 100%
• Consumption Power 100%
• Ensemble Model 100%
• Prediction Accuracy 50%
• Energy Consumption 50%
• Outlier Detection 50%
• Energy Consumption Profile 50%
• Recursive Feature Elimination 50%
• Daily Energy Consumption 50%
• Hong Kong 25%
• Genetic Algorithm 25%
• Feature Extraction 25%
• Elimination Method 25%
• Mean Absolute Percentage Error 25%
• Model Performance 25%
• Tall Buildings 25%
• Large Energy 25%
• Computational Load 25%
• Predictive Models 25%
• Predictive Algorithm 25%
• Energy Consumption Data 25%
• Fault Diagnosis 25%
• Fault Detection 25%
• Leaving Group 25%
• Clustering Analysis 25%
• Developing Strategy 25%
• Optimal Input 25%
• Smart Grid 25%
• Variable Selection Methods 25%
• Operation Optimization 25%
• Studentized 25%
• Popular 25%

Engineering

• Peak Power 100%
• Data-Mining Technique 100%
• Outlier Detection 66%
• Recursive 66%
• Feature Extraction 33%
• Tall Buildings 33%
• Selection Method 33%
• Energy Consumption Data 33%
• Fault Detection and Diagnosis 33%
• Base Model 33%
• Genetic Algorithm 33%
• Outgroup 33%
• Smart Grid 33%